Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2406.08993
Cited By
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
13 June 2024
Yuankai Luo
Lei Shi
Xiao-Ming Wu
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"
17 / 17 papers shown
Title
Wide & Deep Learning for Node Classification
Yancheng Chen
Wenguo Yang
Zhipeng Jiang
GNN
24
0
0
04 May 2025
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
Zhong Guan
Likang Wu
Hongke Zhao
Ming He
Jianpin Fan
GNN
25
0
0
04 May 2025
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning
Roman Bresson
Giannis Nikolentzos
G. Panagopoulos
Michail Chatzianastasis
Jun Pang
Michalis Vazirgiannis
58
42
0
26 Jun 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
Dongqi Fu
Zhigang Hua
Yan Xie
Jin Fang
Si Zhang
Kaan Sancak
Hao Wu
Andrey Malevich
Jingrui He
Bo Long
26
18
0
24 Mar 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Chenhui Deng
Zichao Yue
Zhiru Zhang
81
23
0
02 Mar 2024
A Survey on Structure-Preserving Graph Transformers
Van Thuy Hoang
O-Joun Lee
34
5
0
29 Jan 2024
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
Qitian Wu
Wen-Long Zhao
Chenxiao Yang
Hengrui Zhang
Fan Nie
Haitian Jiang
Yatao Bian
Junchi Yan
AI4CE
33
74
0
19 Jun 2023
Hierarchical Transformer for Scalable Graph Learning
Wenhao Zhu
Tianyu Wen
Guojie Song
Xiaojun Ma
Liang Wang
30
8
0
04 May 2023
Specformer: Spectral Graph Neural Networks Meet Transformers
Deyu Bo
Chuan Shi
Lele Wang
Renjie Liao
69
74
0
02 Mar 2023
Transformers over Directed Acyclic Graphs
Yu Luo
Veronika Thost
Lei Shi
GNN
AI4CE
35
16
0
24 Oct 2022
Hierarchical Graph Transformer with Adaptive Node Sampling
Zaixin Zhang
Qi Liu
Qingyong Hu
Cheekong Lee
65
82
0
08 Oct 2022
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
178
907
0
02 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
167
1,058
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
142
828
0
28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
223
1,726
0
09 Jun 2018
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
240
7,597
0
03 Jul 2012
1